metadata
base_model: yikuan8/Clinical-Longformer
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 20231127_ClinicalLong_5ep_NewLabels
results: []
20231127_ClinicalLong_5ep_NewLabels
This model is a fine-tuned version of yikuan8/Clinical-Longformer on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1204
- Accuracy: 0.76
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 12
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 101 | 2.3747 | 0.35 |
| No log | 2.0 | 202 | 1.6577 | 0.53 |
| No log | 3.0 | 303 | 1.2947 | 0.67 |
| No log | 4.0 | 404 | 1.1553 | 0.69 |
| 1.344 | 5.0 | 505 | 1.1204 | 0.76 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu118
- Datasets 2.10.1
- Tokenizers 0.14.1